ENQCODE Services

SaaS Development Services | Multi-Tenant Cloud Apps

Build subscription-ready, multi-tenant SaaS products. Cloud-native architecture, payment integration, onboarding optimization, and SOC2/GDPR-grade security.

Why teams choose us for saas development services | multi-tenant cloud apps

SaaS is a subscription business pretending to be a software product, and most teams pick that up the hard way around the time their twentieth tenant onboards. We build SaaS platforms that are designed for the subscription business from week one — multi-tenant data isolation that survives an enterprise security review, usage metering that ties back to billing without a brittle cron job in the middle, role-based access that finance and engineering both trust, and a release pipeline that ships safely every Tuesday instead of every quarter. Our SaaS engineers have shipped products through their first $1M ARR and through the migration from per-seat to usage-based pricing, so the architecture decisions we make on day one — tenant strategy, observability, billing primitives, plan gating — are the decisions that won't force a rewrite when you sign your first six-figure customer. We work as embedded senior pods, not contract shops, which means your founding engineer keeps the decisions and the context, and the people writing your auth layer are still the people debugging it eighteen months later.

What you get

What's included

  • 01

    Multi-tenant architecture with database-per-tenant or row-level isolation — chosen based on your security and noisy-neighbour constraints, not a default

  • 02

    Stripe / Paddle / Chargebee billing integration with proration, dunning flows, plan changes mid-cycle, and SCA / 3DS handling for European customers

  • 03

    Plan gating and feature flags using LaunchDarkly or a self-hosted Unleash so PM, sales, and engineering can independently roll usage limits

  • 04

    Self-serve onboarding flow with SSO support (Google / Microsoft / SAML) and a fallback email-password path for SMB tenants

  • 05

    Admin console for your CS team — tenant impersonation, usage drill-down, plan overrides, manual invoicing — built before you're forced to use the DB console

  • 06

    Observability stack: Datadog / Sentry / structured logs, per-tenant dashboards, error budgets, and an on-call runbook your team can actually follow

Technology stack

12 technologies we ship in production

  • TypeScript
  • Next.js 15 App Router
  • Node.js + Fastify or NestJS
  • PostgreSQL with Row-Level Security or schema-per-tenant
  • Prisma / Drizzle ORM
  • Redis for sessions, rate limiting, idempotency keys
  • Stripe Billing + Tax + Connect
  • Auth0 / WorkOS / Clerk for SSO and SAML
  • AWS ECS Fargate or Vercel Functions for compute
  • LaunchDarkly for plan gating + feature flags
  • Datadog / Sentry for APM and error tracking
  • Terraform / Pulumi for IaC

Proof

Outcomes from real projects

Anonymised but real. No fake testimonials, no made-up review scores.

Time from first commit to paying customer
11 weeks
B2B analytics SaaS, US, 2025
Reduction in onboarding-related support tickets
62% drop in 90 days
Vertical SaaS (legal-tech), UK, 2025
Billing reconciliation discrepancies eliminated
From 4-5/month → 0 over 6 months
Series B fintech SaaS, EU, 2026

How we work

How we deliver

  1. Tenant strategy workshop

    One-day session with your security and engineering leads to pick database-per-tenant vs row-level isolation. The choice locks in for years; we make it deliberately, not by default.

  2. Billing primitives + plan model

    We model your pricing in Stripe (or your billing system of choice) first — plans, add-ons, usage meters, trial mechanics — before writing a line of UI. Getting this right at the data layer saves three engineering quarters later.

  3. Vertical slice in production

    Sign-up → tenant provisioning → core feature → billing event → invoice — fully wired in staging within four weeks. Real Stripe test mode, real tenant isolation, real telemetry. No mocks.

  4. Iterate on usage telemetry, not opinions

    Once paying users are in, the roadmap is driven by per-tenant usage data and ticket themes — not stakeholder hunches. We instrument every feature so you have the data to make calls.

  5. Scale + harden for enterprise

    When your sales team starts losing deals on a SOC 2 question, we're already prepared: audit logs, encryption at rest, BYOK options, SAML, customer-controlled data residency. Roadmapped against your sales pipeline.

FAQs

Frequently asked questions

Should we go database-per-tenant or row-level isolation in PostgreSQL?
Depends on two things: how many tenants you expect in 18 months and whether enterprise customers will demand data residency or BYOK. Under ~500 tenants with SMB-only buyers, row-level security is faster to ship and easier to back up. Above that, or with enterprise security reviews on the horizon, database-per-tenant earns its operational complexity back in audit and isolation guarantees. We pick this in week one of the engagement, not later — the migration cost between the two is significant.
How do you handle billing edge cases — proration, mid-cycle plan changes, refunds?
We model billing in your billing platform (Stripe / Paddle / Chargebee) as the source of truth and treat your application database as a cache of subscription state, not the authority. Mid-cycle upgrades are prorated by the billing platform; downgrades take effect at next renewal by default but configurable per plan. Refunds go through a finance-approval flow in your admin console — never directly from the customer UI.
When do we need to think about SOC 2 — at $1M ARR, $5M, or before our first enterprise lead?
Before your first enterprise lead, not after. Most B2B SaaS teams underestimate how often a $100k+ deal stalls on a security questionnaire. We build SOC 2-friendly defaults from day one — audit logs, RBAC, encrypted columns for PII, separation of staging and production data — so the actual SOC 2 audit is documentation, not a 6-month engineering project.
What's your strategy for usage-based pricing vs flat per-seat?
Flat per-seat is easier to sell to mid-market and easier to forecast. Usage-based aligns price with value and is what most modern SaaS will eventually move to. We design the metering layer to support both — events flow into a per-tenant aggregator regardless of how plans are priced today, so the business model can evolve without a re-platform. Most of our clients ship per-seat first and add usage tiers in year two.
How do you handle tenant onboarding for SMB vs enterprise?
Two distinct flows from day one. SMB: self-serve sign-up, Stripe Checkout for billing, instant tenant provisioning, in-app onboarding tour. Enterprise: SSO-first (SAML / OIDC), MSA + DPA signed before access, a designated CS owner, custom limits set in the admin console. The same product, the same code, two onboarding journeys that don't pretend the SMB and enterprise buyer are the same person.
Can you migrate our existing single-tenant product to multi-tenant?
Yes, and it's one of our most common engagements. We typically do this in three phases: (1) introduce a tenant_id column / schema layer behind feature flags, (2) backfill and dual-write existing data, (3) move read paths over tenant-by-tenant and decommission the single-tenant code. We avoid big-bang migrations — they're how data gets lost.

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